Software Engineer (Data Engineering) - Early Disease Detection Clinical AI

Lucem Health Inc.; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Lucem Health Inc. is seeking a Software Engineer for their Data Engineering team in New York. This role focuses on building a robust data foundation to support clinical AI, ensuring scalable, reliable, and compliant data platforms. You'll be pivotal in standardizing healthcare datasets and collaborating with the Product team to drive improvements in patient care.

Your experience in the software and data engineering fields, especially within healthcare, will help advance our mission of revolutionizing care delivery. Join us at the forefront of clinical AI to make a tangible impact on patient outcomes.

Qualifications

• 3+ years of professional software development experience.
• Experience designing and deploying data solutions in cloud environments.
• Familiarity with healthcare data standards such as OMOP, HL7, FHIR.

Responsibilities

• Collaborate with the Product team to analyze customer needs.
• Design, develop, and own critical components of the data platform.
• Execute complex data mapping and transformation initiatives.

Skills

Software development

Data engineering

Python

Go

SQL

NoSQL

Data protection principles

Agile methodologies

Education

Bachelor’s degree in computer science or related field

Tools

Terraform

GCP

AWS

Azure

Job description

Job Description

Mayo Clinic created Lucem Health in 2021 with its investor partners Rally Ventures and Commure(a General Catalyst company), along with the founding team. Our mission is to revolutionize care delivery through the practical application of clinical AI; our vision is a world in which clinicians detect problems before they become lifethreateningand patients get world class care, everywhere.

Our platform connects patient data from varied sources with powerful, clinically focused AI algorithms and other advanced tools. We deliver the insights generated by these tools seamlessly into clinical workflow: to the right stakeholder, in the right place, in the right context, at the right time. And we help clinicians and other stakeholders engage with, understand, trust, and adopt thesetoolsso they see them as valuable partners that support better care and outcomes for patients. Lucem provides AI-enabled software solutions that deliver specific and measurable clinical value propositions and financial benefits to our customers.

Position Summary

At our core, we transform clinical artificial intelligence into practical, real-world solutions that improve care delivery. As a Software Engineer on our Data Engineering team, you will help build the data foundation that powers our entire clinical AI portfolio. Reporting to the Development Manager, you will contribute to the data platform, designing and implementing the automated pipelines and infrastrucurerequiredto ingest, standardize, and serve high-quality clinical data at scale. Your primary mission is to help build the robust and compliant data backbone that ourMLOpsand Data Science teams rely on to develop and deploy high-impact clinical AI models. If you are a rigorous software engineer who wants to apply your skills directly to improving patient outcomes and care efficiency, this is the role for you.

Key Responsibilities

• Collaborate with our Product team to analyze customer needs and translate them into technical strategy and data architecture.
• Design, develop, and own the critical components of our data platform, ensuring scalability, reliability, and adherence to strict compliance standards.
• Execute complex data mapping and transformation initiatives, converting large, raw healthcare datasets into standardized, research-grade formats (e.g., OMOP).
• Partner closely with the MLOps and Data Science teams to define and provide standardized datasets, eliminating data friction and enabling rapid model development.
• Support data integrations by working with customers' technical teams to clarify requirements and troubleshoot technical issues as needed.
• Participate in code reviews and contribute to technical standards and best practices for data engineering.
• Develop and maintain infrastructure as code (IaC) using tools like Terraform to manage our data-centric cloud resources.
• Write and maintain highly performant, production-grade applications and automation scripts primarily in Python and Go.
• Drive continuous improvements to the data platform and our processes by actively providing and implementing recommendations.
• Contribute to the validation of data pipelines and outputs to ensure the highest standards of accuracy and clinical relevance.

Qualifications

• A bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software development experience, with a proven track record of building and maintaining complex data systems.
• Familiarity with healthcare data standards (e.g., OMOP, HL7, FHIR) and data protection principles.
• Proficiency in developing solutions using languages such as Go or Python.
• Solid understanding and hands-on experience with both relational (SQL) and document-based (NoSQL) databases.
• Experience designing and deploying data solutions on a major cloud platform (GCP, AWS, Azure).
• Experience working in a PHI-regulated or HIPAA-compliant secure cloud environment.
• Experience working within Agile delivery teams.
• Excellent analytical, creative problem-solving, and communication skills, with a passion for improving healthcare outcomes.